Inferring the astrophysical population of gravitational wave sources in the presence of noise transients

被引:8
作者
Heinzel, Jack [1 ,2 ,3 ]
Talbot, Colm [1 ,2 ,3 ]
Ashton, Gregory [4 ]
Vitale, Salvatore [1 ,2 ,3 ]
机构
[1] MIT, LIGO, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[2] MIT, Kavli Inst Astrophys & Space Res, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[3] MIT, Dept Phys, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[4] Royal Holloway Univ London, Dept Phys, Egham Hill, Egham TW20 0EX, Surrey, England
基金
美国国家科学基金会;
关键词
black hole mergers; gravitational waves; methods: data analysis; methods: statistical; BINARY BLACK-HOLES; EFFECTIVE-SPIN; SUBSOLAR MASS; MERGER RATE; SEARCH; CONSTRAINTS; EVOLUTION; INFERENCE;
D O I
10.1093/mnras/stad1823
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The global network of interferometric gravitational wave (GW) observatories (LIGO, Virgo, KAGRA) has detected and characterized nearly 100 mergers of binary compact objects. However, many more real GWs are lurking sub-threshold, which need to be sifted from terrestrial-origin noise triggers (known as glitches). Because glitches are not due to astrophysical phenomena, inference on the glitch under the assumption it has an astrophysical source (e.g. binary black hole coalescence) results in source parameters that are inconsistent with what is known about the astrophysical population. In this work, we show how one can extract unbiased population constraints from a catalogue of both real GW events and glitch contaminants by performing Bayesian inference on their source populations simultaneously. In this paper, we assume glitches come from a specific class with a well-characterized effective population (blip glitches). We also calculate posteriors on the probability of each event in the catalogue belonging to the astrophysical or glitch class, and obtain posteriors on the number of astrophysical events in the catalogue, finding it to be consistent with the actual number of events included.
引用
收藏
页码:5972 / 5984
页数:13
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